Gene Expression Programming

Mathematical Modeling by an Artificial Intelligence

  • Cândida Ferreira

Part of the Studies in Computational Intelligence book series (SCI, volume 21)

Table of contents

  1. Front Matter
    Pages I-XX
  2. Cândida Ferreira
    Pages 1-27
  3. Cândida Ferreira
    Pages 29-54
  4. Cândida Ferreira
    Pages 55-120
  5. Cândida Ferreira
    Pages 121-180
  6. Cândida Ferreira
    Pages 181-232
  7. Cândida Ferreira
    Pages 233-273
  8. Cândida Ferreira
    Pages 275-295
  9. Cândida Ferreira
    Pages 297-336
  10. Cândida Ferreira
    Pages 337-380
  11. Cândida Ferreira
    Pages 381-403
  12. Cândida Ferreira
    Pages 405-420
  13. Cândida Ferreira
    Pages 421-456
  14. Back Matter
    Pages 457-478

About this book

Introduction

Cândida Ferreira thoroughly describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. This monograph provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book also includes a self-contained introduction to this new exciting field of computational intelligence, including several new algorithms for decision tree induction, data mining, classifier systems, function finding, polynomial induction, times series prediction, evolution of linking functions, automatically defined functions, parameter optimization, logic synthesis, combinatorial optimization, and complete neural network induction. The book also discusses some important and controversial evolutionary topics that might be refreshing to both evolutionary computer scientists and biologists.

This second edition has been substantially revised and extended with five new chapters, including a new chapter describing two new algorithms for inducing decision trees with nominal and numeric/mixed attributes.

 

Cândida Ferreira thoroughly describes the basic ideas of gene

expression programming (GEP) and numerous modifications to this

powerful new algorithm. This monograph provides all the implementation

details of GEP so that anyone with elementary programming

skills will be able to implement it themselves. The book also includes a

self-contained introduction to this new exciting field of computational

intelligence, including several new algorithms for decision tree

induction, data mining, classifier systems, function finding, polynomial

induction, times series prediction, evolution of linking functions,

automatically defined functions, parameter optimization, logic

synthesis, combinatorial optimization, and complete neural network

induction. The book also discusses some important and controversial

evolutionary topics that might be refreshing to both evolutionary

computer scientists and biologists. This second edition has been

substantially revised and extended with five new chapters, including

a new chapter describing two new algorithms for inducing decision

trees with nominal and numeric/mixed attributes.

Keywords

algorithms artificial intelligence combinatorial optimization computer logic modeling optimization programming

Authors and affiliations

  • Cândida Ferreira
    • 1
  1. 1.Chief Scientist Gepsoft Ltd.BristolUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-32849-1
  • Copyright Information Springer 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-32796-7
  • Online ISBN 978-3-540-32849-0
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book